globalchange  > 气候变化与战略
DOI: 10.1016/j.enpol.2020.111244
论文题名:
Analysis and prediction of industrial energy conservation in underdeveloped regions of China using a data pre-processing grey model
作者: Guo H.; Deng S.; Yang J.; Liu J.; Nie C.
刊名: Energy Policy
ISSN: 03014215
出版年: 2020
卷: 139
语种: 英语
中文关键词: Energy policy ; Grey system theory ; Industrial energy conservation ; Underdeveloped regions
英文关键词: Data handling ; Energy conservation ; Energy policy ; System theory ; Data preprocessing ; Ecological development ; Existing problems ; Grey system theory ; Industrial development ; Industrial energy conservation ; Policy suggestions ; Underdeveloped regions ; Energy utilization ; econometrics ; energy conservation ; energy efficiency ; energy market ; energy policy ; industrial development ; numerical model ; policy implementation ; China
英文摘要: As industrialisation continues to accelerate in China, underdeveloped regions are required to reduce their energy consumption. In this study, we examined industrial energy conservation in China's policy guidance and formulation, and the development of industrial energy conservation in the 12th Five-Year Plan period. Using a pre-processing grey model GM(1, 3), we forecast the energy consumption per unit of industrial added-values during the 2015–2020 period with higher accuracy than the untreated model. To comprehensively understand the energy consumptions of the primary products of six high energy-consuming industries, we established pre-processing GM(1,1) for the 2017–2024 period. The results show that the ecological development path not only promotes economic and industrial developments but also significantly reduces energy consumption. Moreover, the annual reduction rate of energy consumption per unit product is projected to be moderate during the 2015–2020 period than during the 12th Five-Year Plan period. Finally, we investigate and analyse the existing problems of industrial energy conservation and the development of the six industries. This study offers policy suggestions for industrial energy conservation in underdeveloped regions. © 2020 Elsevier Ltd
Citation statistics:
被引频次[WOS]:13   [查看WOS记录]     [查看WOS中相关记录]
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/167206
Appears in Collections:气候变化与战略

Files in This Item:

There are no files associated with this item.


作者单位: School of Energy Science and Engineering, Central South University, Changsha, Hunan 410083, China; Ordos Institute of Technology, Ordos, Inner Mongolia 017000, China; Shanghai University of Engineering Science, Shanghai, 201620, China; School of Materials Science and Engineering, Central South University, Changsha, Hunan 410083, China

Recommended Citation:
Guo H.,Deng S.,Yang J.,et al. Analysis and prediction of industrial energy conservation in underdeveloped regions of China using a data pre-processing grey model[J]. Energy Policy,2020-01-01,139
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Guo H.]'s Articles
[Deng S.]'s Articles
[Yang J.]'s Articles
百度学术
Similar articles in Baidu Scholar
[Guo H.]'s Articles
[Deng S.]'s Articles
[Yang J.]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Guo H.]‘s Articles
[Deng S.]‘s Articles
[Yang J.]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.